Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs. IBM Decision Manager Open Edition

Red Hat Decision Manager is well suited for developing a microservices-based application architecture where reusable components / APIs can be used across different end-user applications. It however may not be well suited for use cases where business users need low code / no-code environment to maintain business rules themselves without any developer / IT team support

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• Business rule management for filtering the candidate
• Automate the possible decision making which reduces the time and increase the productivity
• Whenever business rule changes based on the client requirement.

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• It should be easy to use because it needs more knowledge
• You should be trained to your partner well
• Well Documentations are needed

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Red Hat Decision Manager can be scaled and adapted to meet the automation needs of the organization as it grows by reusing the components and business rules data which provides a high ROI on the renewal costs.

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Implementation phase is very difficult .Of course ,you need to know bunch of things about cloud,container,automatization

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The support for Red Hat decision Manager can be improved to be more omnichannel with better response times for the customers.

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For high volume and / or complex set of legacy business rules, plan for adequate time for data migration activities.

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If you have a low budget to invest probably JBoss BRMS is the option for you, if your budget is not restricted you'll probably like to consider Bizagi

• Quickly write business rules
• Computers can take decision
• Complex event processing

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info